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Our new arXiv paper: We built a generative AI model of blood glucose levels from 10 million continuous glucose monitoring measurements of 11,000 people from the Human Phenotype Project We show that our model can predict clinical parameters such as liver-related parameters, blood

Thrilled to share our work, GluFormer: A foundation model for continuous glucose monitoring (CGM) data, trained on over 10 million measurements from over 10,000 individuals. Read the full paper here: arxiv.org/abs/2408.11876. 1/8

ICYMI: We discovered intriguing links between bacterial SNPs and host BMI 🦠🧬. Our findings (w/ Eran Segal) were published in Nature Medicine last year (nature.com/articles/s4159…), and I'm excited to finally share them here >>

Podcast about our Human Phenotype Project humanphenotypeproject.org describing our large-scale cohort, the clinical and genomic data collected, the goals, and the AI tools we're developing to model future health trajectories of people Listen here: tinyurl.com/hme5bsz8 What's

Mind blowing: An AI-generated podcast about our generative AI model of blood glucose levels. The podcast is fluent, accurate, interesting, and explains well most major aspects of the research Listen here: tinyurl.com/285m8mp9 By Google's Notebook ML

"Extreme antibiotic resistance is widespread in the healthy, non-hospitalized population" from pan-genomics of the gut microbiome at scale cell.com/cell-host-micr… Cell Host & Microbe Weizmann Institute Eran Segal Saar Shoer Lee Reicher Chunyu Zhao Tzachi Pilpel

Approx. 10 million civilians are the targets of Iranian projectiles.

🎉 Thrilled to share that my latest paper (w/ Eran Segal) on the gut microbiome's role in host metabolic health has just been published in Nature Communications! Dive into our insights📄✨ nature.com/articles/s4146… 1/5

Our new Nature Aging paper: We built 14 "biological clocks" representing the biological age and rate of aging of 14 major body systems using data from 13,000 people of the Human Phenotype Project Key findings: 1. Biological clocks are clinically meaningful: People with higher

This is a very interesting and informative paper on aging, with striking insights into biological clocks across different systems and between men and women.

A new report on biological aging from the Human Phenotype Project with key insights on age-related diseases and gender-specific effects Nature Aging Weizmann Institute

“Biological clocks are clinically meaningful” Eran Segal

.Eran Segal & colleagues built 14 "biological clocks" representing the biological age and rate of aging of 14 major body systems using data from 13,000 people. Species abundance in the microbiome is a variable considered into aging models: nature.com/articles/s4358…

Welcome to the new world

We have a new and revised GluFormer manuscript! We expanded our analyses considerably: now showing that our AI model for CGM can identify individuals at higher risk of declining glycemic control before it happens, and can predict long-term diabetes & cardiovascular mortality.

An impressive sleep study goes deep on links to lifestyle and diseases —impact of gut microbiome and diet re: sleep apnea —big contribution of lifestyle factors —ability to predict across 16 body systems from sleep data Nature Medicine Eran Segal Weizmann Institute

An increasing number of papers is emerging from the Human Phenotype Project. 👉It is a very rich dataset with serial deep phenotyping assessments for 10,000 participants 👉Latest paper explores associatons of 448 sleep traits from apnea test monitoring with other phenotypes.

In a new arxiv paper, we show that certain conditions like sleep apnea can be predicted from just 30-second voice recordings of adults counting, suggesting that voice may be a disease screening biomarker We used embeddings learned from a foundation AI model for speaker

Our lab at the Weizmann Institute was hit tonight by Iran We will rebuild and return 💪